论文标题
核心和外围作为工程通用情报的封闭系统戒律
Core and Periphery as Closed-System Precepts for Engineering General Intelligence
论文作者
论文摘要
工程方法集中在传统的分解和重构概念上，这些概念依赖于划分组件的输入和输出，以使组成级的属性在其成分后保持。但是，在人工智能（AI）中，通常期望系统会影响其环境，并通过环境影响自己的环境。因此，目前尚不清楚AI系统的输入是否将独立于其输出，因此，是否可以将AI系统视为传统组件。本文认为，工程通用智能需要新的通用系统戒律，称为核心和外围，并探索其理论用途。使用抽象系统理论和必要品种定律详细阐述了新的戒律。通过使用呈现的材料，工程师可以更好地理解规范AI结果以达到利益相关者需求以及实施方案的一般系统性质挑战传统工程实践的一般特征。
Engineering methods are centered around traditional notions of decomposition and recomposition that rely on partitioning the inputs and outputs of components to allow for component-level properties to hold after their composition. In artificial intelligence (AI), however, systems are often expected to influence their environments, and, by way of their environments, to influence themselves. Thus, it is unclear if an AI system's inputs will be independent of its outputs, and, therefore, if AI systems can be treated as traditional components. This paper posits that engineering general intelligence requires new general systems precepts, termed the core and periphery, and explores their theoretical uses. The new precepts are elaborated using abstract systems theory and the Law of Requisite Variety. By using the presented material, engineers can better understand the general character of regulating the outcomes of AI to achieve stakeholder needs and how the general systems nature of embodiment challenges traditional engineering practice.
